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diff --git a/docs/mllib-classification-regression.md b/docs/mllib-classification-regression.md index 2c42f60c2e..2e0fa093dc 100644 --- a/docs/mllib-classification-regression.md +++ b/docs/mllib-classification-regression.md @@ -316,26 +316,26 @@ For each of them, we support all 3 possible regularizations (none, L1 or L2). Available algorithms for binary classification: -* [SVMWithSGD](api/mllib/index.html#org.apache.spark.mllib.classification.SVMWithSGD) -* [LogisticRegressionWithSGD](api/mllib/index.html#org.apache.spark.mllib.classification.LogisticRegressionWithSGD) +* [SVMWithSGD](api/scala/index.html#org.apache.spark.mllib.classification.SVMWithSGD) +* [LogisticRegressionWithSGD](api/scala/index.html#org.apache.spark.mllib.classification.LogisticRegressionWithSGD) Available algorithms for linear regression: -* [LinearRegressionWithSGD](api/mllib/index.html#org.apache.spark.mllib.regression.LinearRegressionWithSGD) -* [RidgeRegressionWithSGD](api/mllib/index.html#org.apache.spark.mllib.regression.RidgeRegressionWithSGD) -* [LassoWithSGD](api/mllib/index.html#org.apache.spark.mllib.regression.LassoWithSGD) +* [LinearRegressionWithSGD](api/scala/index.html#org.apache.spark.mllib.regression.LinearRegressionWithSGD) +* [RidgeRegressionWithSGD](api/scala/index.html#org.apache.spark.mllib.regression.RidgeRegressionWithSGD) +* [LassoWithSGD](api/scala/index.html#org.apache.spark.mllib.regression.LassoWithSGD) Behind the scenes, all above methods use the SGD implementation from the gradient descent primitive in MLlib, see the <a href="mllib-optimization.html">optimization</a> part: -* [GradientDescent](api/mllib/index.html#org.apache.spark.mllib.optimization.GradientDescent) +* [GradientDescent](api/scala/index.html#org.apache.spark.mllib.optimization.GradientDescent) #### Tree-based Methods The decision tree algorithm supports binary classification and regression: -* [DecisionTee](api/mllib/index.html#org.apache.spark.mllib.tree.DecisionTree) +* [DecisionTee](api/scala/index.html#org.apache.spark.mllib.tree.DecisionTree) # Usage in Scala |